Data, information and analytics as services

Authors:
Dursun Delen;Haluk Demirkan
Affiliations:
Department of Management Science and Information Systems, Spears School of Business, Oklahoma State University, United States;The Milgard School of Business, University of Washington Tacoma, United States
Venue:
Decision Support Systems
Year:
2013

Citing 4
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Abstract

While organizations are trying to become more agile to better respond to market changes in the midst of rapidly globalizing competition by adopting service orientation-commoditization of business processes, architectures, software, infrastructures and platforms-they are also facing new challenges. In this article, we provide a conceptual framework for service oriented managerial decision making process, and briefly explain the potential impact of service oriented architecture (SOA) and cloud computing on data, information and analytics. Today, SOA, cloud computing, Web 2.0 and Web 3.0 are converging, and transforming the information technology ecosystem for the better while imposing new complexities. With this convergence, a large amount of structured and unstructured data is being created and shared over disparate networks and virtual communities. To cope and/or to take advantage of these changes, we are in need of finding new and more efficient ways to collect, store, transform, share, utilize and dispose data, information and analytics.